We used 3 layers of GCN [1]} with ReLU activation between each layer. Node feature vectors are first mapped to a dense vector with a linear layer. A graph with dense node vectors \(H^{(0)}\)  and an adjacency matrix \(A\)  are then mapped through a GCN layer:
\(H^{(l+1)} = \text{AGG}(\text{ReLU}(\lbrace \tilde{D}^{-1/2}\tilde{A}\tilde{D}^{-1/2}H^{(l)}W^{(l)}\rbrace ))\) 
